partnerships

Sonic Atlas partners with AI companies, research labs, and technology firms to supply fully owned analog music datasets for machine learning and generative audio development.

We work directly with teams requiring legally secure, production-grade training data for real-world model deployment.

AI Music & Generative Audio Platforms

Companies building generative music systems, composition engines, and adaptive audio technologies requiring high-quality, rights-secure training data.
Audio AI & Machine Learning Startups

Venture-backed teams developing source separation, synthesis, style modelling, and signal-behaviour analysis systems.
Research Institutions & University Labs

Academic and applied research groups working on supervised and unsupervised audio learning frameworks.
Enterprise R&D & Technology Firms

Corporate innovation teams integrating advanced audio intelligence into commercial products and platforms.

We structure engagements around scalable, rights-secure dataset supply aligned with technical requirements and commercial objectives.

Structured master and stem datasets for machine learning, model training, and generative audio development.
Managed access to fully owned analog recordings and multitrack stems, with clear usage rights and compliance frameworks.
Tailored dataset builds based on genre, era, production style, and signal behaviour requirements.
Ongoing dataset provision aligned with product roadmaps, enabling continuous model development and expansion.